This release is a pre-release and may not be stable for production use.
Introduction
MMCV is a foundational python library for computer vision research and supports many research projects in MMLAB, such as MMDetection and MMAction.
It provides the following functionalities.
Universal IO APIs
Image processing
Video processing
Image and annotation visualization
Useful utilities (progress bar, timer, …)
PyTorch runner with hooking mechanism
Various CNN architectures
See the documentation for more features and usage.
Note: MMCV requires Python 3.6+.
Installation
Try and start with
pip install mmcvor install from source
git clone https://github.com/open-mmlab/mmcv.git
cd mmcv
pip install -e .Note: If you would like to use opencv-python-headless instead of opencv-python,
e.g., in a minimum container environment or servers without GUI,
you can first install it before installing MMCV to skip the installation of opencv-python.
Release files for mmcv-nightly 0.5.4.dev20200515
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| mmcv-nightly-0.5.4.dev20200515.tar.gz | 68.3 kB | Details |
Built distributions (wheels)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| mmcv_nightly-0.5.4.dev20200515-cp37-cp37m-manylinux1_x86_64.whl | CPython 3.7 | CPython 3.7 pymalloc | Linux glibc 2.5+ x86-64 | Details |
| mmcv_nightly-0.5.4.dev20200515-cp36-cp36m-manylinux1_x86_64.whl | CPython 3.6 | CPython 3.6 pymalloc | Linux glibc 2.5+ x86-64 | Details |
Total release size: 429.7 kB
Release files / mmcv-nightly-0.5.4.dev20200515.tar.gz
| Download URL | mmcv-nightly-0.5.4.dev20200515.tar.gz |
|---|---|
| Size | 68.3 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
305b4d7a0016bb35a79505380d121452e94f3e7e50bf36039e1f2fff8b6a06e0
|
|
BLAKE2b-256 checksum How to use checksums |
043549c068b3c802a47381fa84deb11f34d45ea323b6dbb54b256302fc506212
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.1.1 pkginfo/1.5.0.1 requests/2.23.0 setuptools/46.3.1 requests-toolbelt/0.9.1 tqdm/4.46.0 CPython/3.6.10
|
Release files / mmcv_nightly-0.5.4.dev20200515-cp37-cp37m-manylinux1_x86_64.whl
| Download URL | mmcv_nightly-0.5.4.dev20200515-cp37-cp37m-manylinux1_x86_64.whl |
|---|---|
| Size | 181.5 kB |
| Tags | CPython 3.7 CPython 3.7 pymalloc Linux glibc 2.5+ x86-64 |
|
SHA-256 checksum How to use checksums |
560ff758ff229efb0b9d9651470180a96c9827a930470723262e57ce773c16b1
|
|
BLAKE2b-256 checksum How to use checksums |
416a93e68f11f8cbba103b0036b718898540a41bfab30aa2c3b17bfbc82beea1
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.1.1 pkginfo/1.5.0.1 requests/2.23.0 setuptools/46.3.1 requests-toolbelt/0.9.1 tqdm/4.46.0 CPython/3.7.7
|
Release files / mmcv_nightly-0.5.4.dev20200515-cp36-cp36m-manylinux1_x86_64.whl
| Download URL | mmcv_nightly-0.5.4.dev20200515-cp36-cp36m-manylinux1_x86_64.whl |
|---|---|
| Size | 179.9 kB |
| Tags | CPython 3.6 CPython 3.6 pymalloc Linux glibc 2.5+ x86-64 |
|
SHA-256 checksum How to use checksums |
9ca95a21cd02c6e5449d20ee7b3998469c3274edb70ef9c66cd586dcff70d332
|
|
BLAKE2b-256 checksum How to use checksums |
34f2823d826c2f683b1550dad10b9db9b01a9e4fd16994d355ff69e4fbe36956
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.1.1 pkginfo/1.5.0.1 requests/2.23.0 setuptools/46.3.1 requests-toolbelt/0.9.1 tqdm/4.46.0 CPython/3.6.10
|
